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Radek Maciaszek, Founder & CEO
Radek believes that in order to understand data, you need to be able to see what it looks like. This forms an important part of his approach to data projects and he is keen to demonstrate how pages of raw data can be visualised and, consequently, have real-world impacts.Before he created DataMine Lab, Radek worked for many advertising companies, including OpenX and Unanimis/Orange. During this time, he built up his knowledge and experience of large scale data analysis and web analytics solutions, learning how to make them relevant to the clients he works with today.
He has a BSc in Computer Science from the University of Adam Mickiewicz in Poznan, Poland and a Master’s degree in Cognitive and Decisions Sciences from Birkbeck. He is currently studying part-time towards an MSc in Bioinformatics at Birkbeck, University of London.
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Krystian Nowak, Head of Data Processing Engineering
Before coming to DataMine Lab, Krystian spent several years working in the advertising industry. Here, he gained experience of working with a wide range of clients and delivering bespoke multi-threaded high frequency and low latency solutions. He now applies this knowledge to his work at DataMine Lab and works hard to tailor his approach to the needs of individual clients.Krystian has an MSc in Computing Science from Poznan University of Technology, where he majored in Database Systems. He now specialises in highly distributed processing and analysis of gigantic datasets.
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Bartek Kukawka, Data Scientist
Before coming to DataMine Lab Bartek took part in several EU projects concerning counterterrorism and public safety. There, he gained experience of working with large volumes of online data and developing effective algorithms. He specializes in spatial data analysis and algorithms for route planning in road networks and public transport.Bartek has an MSc in Computing Science from Poznan University of Technology, where he majored in Intelligent Decision Support Systems and is currently a PhD student. His research focuses on medical and health informatics: computer aided evidence based medicine and medical documents indexing.
